Bruno da Silva

1.6k total citations
87 papers, 1.1k citations indexed

About

Bruno da Silva is a scholar working on Signal Processing, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, Bruno da Silva has authored 87 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 14 papers in Computer Networks and Communications and 14 papers in Biomedical Engineering. Recurrent topics in Bruno da Silva's work include Speech and Audio Processing (14 papers), Parallel Computing and Optimization Techniques (10 papers) and Heart Rate Variability and Autonomic Control (9 papers). Bruno da Silva is often cited by papers focused on Speech and Audio Processing (14 papers), Parallel Computing and Optimization Techniques (10 papers) and Heart Rate Variability and Autonomic Control (9 papers). Bruno da Silva collaborates with scholars based in Belgium, France and United States. Bruno da Silva's co-authors include Abdellah Touhafi, Girstautė Dagytė, Clive R. Bramham, Tambudzai Kanhema, Elhoucine Messaoudi, Adrian Tiron, Jonathan Soulé, An Braeken, Kris Steenhaut and Erik D’Hollander and has published in prestigious journals such as Nucleic Acids Research, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Bruno da Silva

71 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bruno da Silva Belgium 14 292 283 169 153 92 87 1.1k
Yasemin M. Akay United States 19 181 0.6× 228 0.8× 153 0.9× 113 0.7× 36 0.4× 89 1.4k
Weimin Zheng China 23 167 0.6× 208 0.7× 445 2.6× 26 0.2× 110 1.2× 103 1.7k
Qin Chang China 16 120 0.4× 232 0.8× 74 0.4× 44 0.3× 26 0.3× 48 1.0k
Dileep George United States 18 146 0.5× 113 0.4× 406 2.4× 78 0.5× 139 1.5× 42 1.3k
Ze Wang China 15 242 0.8× 74 0.3× 475 2.8× 178 1.2× 160 1.7× 44 888
Peter Sykacek Austria 14 115 0.4× 292 1.0× 197 1.2× 81 0.5× 30 0.3× 36 827
Saket Navlakha United States 20 126 0.4× 703 2.5× 148 0.9× 82 0.5× 77 0.8× 51 2.1k
Shan Li China 19 63 0.2× 288 1.0× 359 2.1× 361 2.4× 75 0.8× 69 3.4k
Weigang Cui China 16 150 0.5× 380 1.3× 853 5.0× 324 2.1× 119 1.3× 37 1.5k
Jiaxiang Wu China 20 314 1.1× 353 1.2× 99 0.6× 42 0.3× 62 0.7× 71 1.3k

Countries citing papers authored by Bruno da Silva

Since Specialization
Citations

This map shows the geographic impact of Bruno da Silva's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bruno da Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno da Silva more than expected).

Fields of papers citing papers by Bruno da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno da Silva. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bruno da Silva. The network helps show where Bruno da Silva may publish in the future.

Co-authorship network of co-authors of Bruno da Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno da Silva. A scholar is included among the top collaborators of Bruno da Silva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bruno da Silva. Bruno da Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Braeken, An, et al.. (2025). Secure Tiny Machine Learning on Edge Devices: A Lightweight Dual Attestation Mechanism for Machine Learning. Future Internet. 17(2). 85–85. 1 indexed citations
2.
Stiens, Johan, et al.. (2024). MLino bench: A comprehensive benchmarking tool for evaluating ML models on edge devices. Journal of Systems Architecture. 155. 103262–103262. 4 indexed citations
3.
Pauw, Kevin De, et al.. (2024). Exploring Near- and Far-Field Effects in Photoplethysmography Signals Across Different Source–Detector Distances. Sensors. 25(1). 99–99. 1 indexed citations
4.
Silva, Bruno da, et al.. (2024). Trustworthy Environmental Monitoring Using Hardware-Assisted Security Mechanisms. Sensors. 24(14). 4720–4720. 2 indexed citations
5.
Silva, Bruno da, et al.. (2024). Harnessing FPGA Technology for Energy-Efficient Wearable Medical Devices. Electronics. 13(20). 4094–4094. 1 indexed citations
6.
Naranjo, Juan Carlos García, et al.. (2023). Anomaly Detection in Multi-Wavelength Photoplethysmography Using Lightweight Machine Learning Algorithms. Sensors. 23(15). 6947–6947. 2 indexed citations
7.
Silva, Bruno da, Henrique Almeida, Reginaldo Gonçalves de Lima-Neto, et al.. (2023). Clinical, Epidemiological and Laboratory Features of Invasive Candida parapsilosis Complex Infections in a Brazilian Pediatric Reference Hospital during the COVID-19 Pandemic. Journal of Fungi. 9(8). 844–844. 2 indexed citations
8.
Silva, Bruno da, et al.. (2021). M3-AC: A Multi-Mode Multithread SoC FPGA Based Acoustic Camera. Electronics. 10(3). 317–317. 4 indexed citations
9.
Silva, Bruno da, et al.. (2021). XCycles Backprojection Acoustic Super-Resolution. Sensors. 21(10). 3453–3453. 1 indexed citations
10.
Silva, Bruno da, et al.. (2021). Environmental Sound Recognition on Embedded Systems: From FPGAs to TPUs. Electronics. 10(21). 2622–2622. 22 indexed citations
11.
Gautier, Thomas, Valérie Deckert, Virginie Aires, et al.. (2021). Human apolipoprotein C1 transgenesis reduces atherogenesis in hypercholesterolemic rabbits. Atherosclerosis. 320. 10–18. 10 indexed citations
12.
Silva, Bruno da, Virginie Marchand, Caroline Jacquier, et al.. (2020). tRNA 2′-O-methylation by a duo of TRM7/FTSJ1 proteins modulates small RNA silencing in Drosophila. Nucleic Acids Research. 48(4). 2050–2072. 34 indexed citations
13.
Silva, Bruno da, et al.. (2019). Design Exploration and Performance Strategies towards Power-Efficient FPGA-Based Architectures for Sound Source Localization. Journal of Sensors. 2019. 1–27. 11 indexed citations
14.
Silva, Bruno da, et al.. (2019). CABE: A Cloud-Based Acoustic Beamforming Emulator for FPGA-Based Sound Source Localization. Sensors. 19(18). 3906–3906. 2 indexed citations
15.
Silva, Bruno da, et al.. (2019). Evaluation of Classical Machine Learning Techniques towards Urban Sound Recognition on Embedded Systems. Applied Sciences. 9(18). 3885–3885. 34 indexed citations
16.
Lemeire, Jan, et al.. (2017). Efficiency analysis methodology of FPGAs based on lost frequencies, area and cycles. Journal of Parallel and Distributed Computing. 113. 204–217. 2 indexed citations
17.
Silva, Bruno da. (2017). EVOLUTION OF THE BENEFICIAL OWNERSHIP CONCEPT: MORE THAN HALF OF CENTURY OF UNCERTAINTY AND WHAT HISTORY CAN TELL US. UvA-DARE (University of Amsterdam). 12(4). 501–523. 1 indexed citations
18.
Silva, Bruno da, George Konidaris, & Andrew G. Barto. (2014). Active Learning of Parameterized Skills. International Conference on Machine Learning. 1737–1745. 11 indexed citations
19.
Silva, Bruno da, et al.. (2013). Performance and toolchain of a combined GPU/FPGA desktop. Ghent University Academic Bibliography (Ghent University). 274–274. 4 indexed citations
20.
Silva, Bruno da. (2011). From Marks & Spencer to X Holding : The Future of Cross-Border Group Taxation in the European Union. Intertax. 39(5). 257–265.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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